Zhang X T, Alomari A H, Savkin A V, Ayre P J, Lim E, Salamonsen R F, Rosenfeldt F L, Lovell N H
School of Electrical Engineering and Telecommunications, The University of New South Wales (UNSW), Sydney, 2052, Australia.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2517-20. doi: 10.1109/IEMBS.2010.5626876.
Implantation of sensors to measure hemodynamic parameters such as pulsatile pump flow and differential pressure (head) in an implantable rotary pump (IRBP) requires regular in situ calibration due to measurement drift. In addition, risks associated with sensor failure and thrombus formation makes the long-term implantation in patients problematic. In our laboratory, two stable and novel dynamical models for non-invasive pulsatile flow and head estimation were proposed and tested in vitro using mock circulatory loop experiments with varying hematocrit (HCT). Noninvasive measurements of power and pump speed were used as inputs to the flow model while the estimated flow was used together with the pump rotational speed as inputs to the head estimation model. In this paper, we evaluated the performance of the proposed models using in vivo experimental data obtained from greyhound dogs (N=5). Linear regression analysis between estimated and measured pulsatile flows resulted in a highly significant correlation (R(2) = 0.946) and mean absolute error (e) of 0.810 L/min, while for head, R(2) = 0.951 and e = 10.13 mmHg were obtained.
在可植入旋转泵（IRBP）中植入用于测量诸如脉动泵流量和压差（扬程）等血流动力学参数的传感器，由于测量漂移，需要定期进行原位校准。此外，与传感器故障和血栓形成相关的风险使得在患者体内长期植入存在问题。在我们实验室，提出了两种用于无创脉动流量和扬程估计的稳定且新颖的动力学模型，并在体外使用不同血细胞比容（HCT）的模拟循环回路实验进行了测试。将功率和泵速的无创测量值用作流量模型的输入，而估计流量与泵转速一起用作扬程估计模型的输入。在本文中，我们使用从灵缇犬（N = 5）获得的体内实验数据评估了所提出模型的性能。估计脉动流量与测量脉动流量之间的线性回归分析得出高度显著的相关性（R(2) = 0.946），平均绝对误差（e）为0.810 L/min，而对于扬程，R(2) = 0.951，e = 10.13 mmHg。
